DocumentCode :
1126652
Title :
Reduction of placement problems using Minkowski decomposition
Author :
Dorst, Leo ; Ahmed, Nizam
Author_Institution :
Informatics Inst., Univ. of Amsterdam, Netherlands
Volume :
33
Issue :
1
fYear :
2003
fDate :
2/1/2003 12:00:00 AM
Firstpage :
133
Lastpage :
138
Abstract :
The problem of finding collision-free placements for an object amid obstacles has two well-known solutions: the task space approach and the configuration space approach. In this correspondence, we study the mathematical structure of the placement problem, and show that Minkowski decomposition of the object produces a hierarchy of intermediate reformulations. This provides the mathematical foundation for common approximate solution methods already used in applications. In particular, it provides a recipe for discretizing rotations consistently. The methods discussed are particularly effective for simple shapes.
Keywords :
genetic algorithms; path planning; Minkowski decomposition; approximate solution methods; collision-free placements; configuration space approach; hierarchical planning; mathematical foundation; mathematical structure; path planning; placement problems reduction; task space approach; Informatics; Joining processes; Mathematics; Morphological operations; Navigation; Orbital robotics; Path planning; Prototypes; Robots; Shape;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/TSMCB.2003.808180
Filename :
1167360
Link To Document :
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